{"id":"W3201996901","doi":"10.1558/jalpp.21053","title":"Mobilizing knowledge","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Linguistics and Professional Practice","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Citation; Situated; Government (linguistics); Commission; Linguistics; Speech act; Function (biology); Indirect speech; Political science; Psychology; Sociology; Computer science; Law; Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009529286,0.0001131031,0.0002265267,0.0001015895,0.0004875567,0.0001081886,0.0001257207,0.00003399111,0.0004788417],"category_scores_gemma":[0.002526945,0.00007813289,0.00005395177,0.00003884679,0.0003918938,0.00006361217,0.00009783923,0.0003046915,0.00004236277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001714881,"about_ca_system_score_gemma":0.0001150362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007137407,"about_ca_topic_score_gemma":0.0000311801,"domain_scores_codex":[0.9990588,0.00004517605,0.0003981759,0.0001080142,0.0002495258,0.0001402627],"domain_scores_gemma":[0.9971849,0.0007877087,0.0005353519,0.00009600879,0.001324821,0.00007121184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002314159,0.0002003937,0.000008926423,0.00002789477,0.0002293348,0.00001825778,0.03578169,0.000001278654,0.00004798468,0.9378393,0.02116314,0.004450363],"study_design_scores_gemma":[0.0002610993,0.0001315142,0.00001201917,0.00007683438,0.0002581798,0.00001128832,0.03563754,0.00003798919,0.00006510804,0.009884926,0.9535185,0.0001050154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004853697,0.001380542,0.00003138131,0.0004735928,0.003514527,0.00006079058,0.000004006482,0.00000969143,0.9896718],"genre_scores_gemma":[0.9816379,0.0001133619,0.002468429,0.000671337,0.01251034,0.000001870475,9.558298e-7,0.00001375196,0.002582035],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9870898,"threshold_uncertainty_score":0.5242981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002929696520663,"score_gpt":0.3521943367163757,"score_spread":0.3221650397511691,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}